Prepared for KPMG R Data Challenge.

The analysis focuses on the key places of interest during the day: which places are alive earlier and which ones later in the evening

Which data were used?

• Instagram posts received via the Instagram API
• Location: Prague - Karlin (and surrounding areas)
• Period: from Jan 01, 2016 to Mar 30, 2016
• Number of rows after data cleaning: 9290

hashtag minimum frequency: 162

The corespondence analysis results indicate three clusters:
1. party,
2. food,
3. beauty.

The K-means clustering is performed here (using the factoextra library). The locations with spots having at least 20 are selected.

The following variables are used:
- hashtag profile of each spot
- peak time data on free day and at the weekend
- fraction of free day and working day posts
- number of likes per post

• We can see cca 4 groups in the dendrogram
• We cut the dendrogram on the height = 40 and 50 and recode the group on the right together